Top
| Chapters end with a Summary | |
| References and Further Reading, and Problems | |
| Introduction | |
| What Is Digital Image Processing? The Origins of Digital Image Processing | |
| Examples of Fields that Use Digital Image Processing | |
| Fundamental Steps in Digital Image Processing | |
| Components of an Image Processing System | |
| Digital Image Fundamentals | |
| Elements of Visual Perception | |
| Light and the Electromagnetic Spectrum | |
| Image Sensing and Acquisition | |
| Image Sampling and Quantization | |
| Some Basic Relationships Between Pixels | |
| Linear and Nonlinear Operations | |
| Image Enhancement in the Spatial Domain | |
| Background | |
| Some Basic Gray Level Transformations | |
| Histogram Processing | |
| Enhancement Using Arithmetic/Logic Operations | |
| Basics of Spatial Filtering | |
| Smoothing Spatial Filters | |
| Sharpening Spatial Filters | |
| Combining Spatial Enhancement Methods | |
| Image Enhancement in the Frequency Domain | |
| Background | |
| Introduction to the Fourier Transform and the Frequency Domain | |
| Smoothing Frequency-Domain Filters | |
| Sharpening Frequency Domain Filters | |
| Homomorphic Filtering | |
| Implementation | |
| Image Restoration | |
| A Model of the Image Degradation/Restoration Process | |
| Noise Models | |
| Restoration in the Presence of Noise Only-Spatial Filtering | |
| Periodic Noise Reduction by Frequency Domain Filtering | |
| Linear, Position-Invariant Degradations | |
| Estimating the Degradation Function | |
| Inverse Filtering | |
| Minimum Mean Square Error (Wiener) Filtering | |
| Constrained Least Squares Filtering | |
| Geometric Mean Filter | |
| Geometric Transformations | |
| Color Image Processing | |
| Color Fundamentals | |
| Color Models | |
| Pseudocolor Image Processing | |
| Basics of Full-Color Image Processing | |
| Color Transformations | |
| Smoothing and Sharpening | |
| Color Segmentation | |
| Noise in Color Images | |
| Color Image Compression | |
| Wavelets and Multiresolution Processing | |
| Background | |
| Multiresolution Expansions | |
| Wavelet Transforms in One Dimension | |
| The Fast Wavelet Transform | |
| Wavelet Transforms in Two Dimensions | |
| Wavelet Packets | |
| Image Compression | |
| Fundamentals | |
| Image Compression Models | |
| Elements of Information Theory | |
| Error-Free Compression | |
| Lossy Compression | |
| Image Compression Standards | |
| Morphological Image Processing | |
| Preliminaries | |
| Dilation and Erosion | |
| Opening and Closing | |
| The Hit-or-Miss Transformation | |
| Some Basic Morphological Algorithms | |
| Extensions to Gray-Scale Images | |
| Image Segmentation | |
| Detection of Discontinuities | |
| Edge Linking and Boundary Detection | |
| Thresholding | |
| Region-Based Segmentation | |
| Segmentation by Morphological Watersheds | |
| The Use of Motion in Segmentation | |
| Representation and Description | |
| Representation | |
| Boundary Descriptors | |
| Regional Descriptors | |
| Use of Principal Components for Description | |
| Relational Descriptors | |
| Object Recognition | |
| Patterns and Pattern Classes | |
| Recogni | |
| Table of Contents provided by Publisher. All Rights Reserved. |
